Rapid advances in the capabilities of large language models and the broad accessibility of tools powered by this technology have led to both excitement and concern regarding their use in science. Four experts in artificial intelligence ethics and policy
“The accuracy level of today’s large language models (LLMs) is not up to the mark where we can provide reliable and satisfactory answers to the students all the time—specifically, if it’s a hard mathematical problem involving complex equations,” Govil said. That...
The structure of the physics-informed, property embedded lat... S Mal,G Seal,P Sen - 《Journal of Physical Chemistry Letters》 被引量: 0发表: 2024年 When geoscience meets generative AI and large language models: Foundations, trends, and future challenges deep learningdiffusion modelsgenerative ...
Article Open access 17 May 2024 A number sense as an emergent property of the manipulating brain Article Open access 21 March 2024 Visual cognition in multimodal large language models Article Open access 15 January 2025 Main The field of artificial intelligence (AI) has made astonishing progr...
The following guidance refers only to the writing process, and not to the use of AI tools to analyse and draw insights from data as part of the research process: Generative AI and AI-assisted technologies should only be used in the writing process to improve the readability and language of ...
large degree considered physics to be a model for philosophical inquiry. An extreme position is taken by thelogical positivists, whose radical distrust of the reality of anything not directly observable leads them to demand that all significant statements must be formulated in the language of ...
By construction, the whole set of functions is regular at the origin and, at large distances, the exponential enforces a decreasing behavior which is regulated by a parameter. When used to expand, for example, Coulomb solutions, the required number of basis functions will depend on the largest...
Superconducting qubits can be fabricated and controlled in large numbers, which makes them an appealing platform for quantum simulations of many-body physics. However, a scalable way of implementing electromagnetism has been lacking — until now. ...
Spatiotemporal data consisting of measurements gathered at different times and locations is challenging to analyse due to variability and noise impact across different scales. The authors propose a statistical approach that delivers models of large-scale spatiotemporal datasets applicable to data-analysis ...
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges. Expert Systems, 2024. DOI:10.1111/exsy.13654 26. Nair, S., Walsh, T.F., Pickrell, G. et al. Acoustic scattering simulations via physics-informed neural network. Proceedings of SPIE -...